Simon Lacoste-Julien (December 2012 version) Curriculum Vitae

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1 Simon Lacoste-Julien (December 2012 version) Curriculum Vitae Contact Information SIERRA project-team INRIA 23, avenue d Italie Paris, 75013, France see website Web: slacoste Nationality: Canadian Research Interests Education Machine learning & statistics: structured prediction, optimization, graphical models. Applications: Computer vision, NLP, information retrieval & computational biology. University of California, Berkeley, Berkeley, California, USA Ph.D. in Computer Science Designated Emphasis in Communication, Computation and Statistics Dissertation title: Discriminative Machine Learning with Structure Committee: Michael I. Jordan (chair), Peter L. Bartlett, Peter J. Bickel, Dan Klein Fall Fall B.Sc. Triple Honours in Mathematics, Physics and Computer Science First Class Honours in Math. & Physics, First Class Honours in Math. & CS Anne Molson Gold Medal (best in math), Dean s Honour List, GPA 3.96/4.00 Fall Spring Employment École Normale Supérieure & INRIA, Paris, France Computer Science Department Research in Paris Fellow in SIERRA project-team Sept 2011 present University of Cambridge, Cambridge, UK Nov 2008 Aug 2011 Department of Engineering Research Associate in Machine Learning Group Awards and Fellowships Research in Paris Fellowship, City of Paris Wolfson College Junior Research Fellowship, University of Cambridge UC Berkeley College of Engineering Graduate Student Prize (for outstanding scholarship and achievement at the College of Engineering) NSERC Postgraduate Scholarship (Canadian ERC) NATEQ Scholarship (Québec ERC) - Ranked first in the Mathematical Sciences competition Berkeley Graduate Fellowship McGill Moyse Travelling Scholarship - Only one awarded in the Faculty of Science of McGill University Cornell, MIT and McGill fellowships (declined) At McGill University: Anne Molson Scholarship (for excellence in physics) Sir Edward Beatty Memorial Scholarship (for excellence in maths) and 2002 NSERC University Summer Research Scholarships J.W. McConnell Entrance Scholarship Refereed Publications The non-zero citation counts from Google Scholar (manually excluding citations from any of the listed authors for the counts below 10) are listed after each paper. Total of about 450 citations as of December of 5

2 S. Lacoste-Julien, M. Jaggi, M. Schmidt, P. Pletscher. Block-Coordinate Frank- Wolfe Optimization for Structural SVMs. To appear in Proceedings of the 30th International Conference on Machine Learning (ICML), [2] F. Bach, S. Lacoste-Julien and G. Obozinski. On the Equivalence between Herding and Conditional Gradient Algorithms. Proceedings of the 29th International Conference on Machine Learning (ICML), [3] S. Lacoste-Julien, F. Huszár and Z. Ghahramani. Approximate Inference for the Loss-Calibrated Bayesian. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS), [4] S. Lacoste-Julien, F. Sha and M. Jordan. DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification. Advances in Neural Information Processing Systems (NIPS) 21, MIT Press, [110] S. Lacoste-Julien, B. Taskar, D. Klein and M. Jordan. Word Alignment via Quadratic Assignment. Proceedings of the North American Chapter of the Association for Computational Linguistics Annual Meeting (HLT-NAACL), [63] B. Taskar, S. Lacoste-Julien and M. Jordan. Structured Prediction, Dual Extragradient and Bregman Projections. Journal of Machine Learning Research (JMLR), 7: , [70] B. Taskar, S. Lacoste-Julien and M. Jordan. Structured Prediction via the Extragradient Method. Advances in Neural Information Processing Systems (NIPS) 18, MIT Press, [46] B. Taskar, S. Lacoste-Julien and D. Klein. A Discriminative Matching Approach to Word Alignment, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), [137] S. Lacoste-Julien, H. Vangheluwe, J. de Lara and P. Mosterman. Meta-Modelling Hybrid Formalisms. IEEE International Symposium on Computer-Aided Control System Design (CACSD), IEEE Computer Society Press, [8] Manuscripts S. Lacoste-Julien, M. Schmidt, F. Bach. A Simpler Approach to Obtaining an O(1/t) Convergence Rate for Projected Stochastic Subgradient Descent. arxiv: [cs.lg], [1] S. Lacoste-Julien, K. Palla, A. Davies, G. Kasneci, T. Graepel and Z. Ghahramani. SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases. arxiv: [cs.ai], J.P. Cunnigham, P. Hennig and S. Lacoste-Julien. Approximate Gaussian Integration using Expectation Propagation. arxiv: [stat.ml], F. Huszár and S. Lacoste-Julien. A Kernel Approach to Tractable Bayesian Nonparametrics. arxiv: [stat.ml], Thesis Workshop Papers S. Lacoste-Julien. Discriminative Machine Learning with Structure. Ph.D. Thesis, Computer Science Division, University of California, Berkeley, [4] S. Lacoste-Julien, K. Palla, A. Davies, G. Kasneci, T. Graepel and Z. Ghahramani. SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases. Social Network and Social Media Analysis: Methods, Models and Applications, NIPS, Lake Tahoe, NV, USA, M. Jaggi, S. Lacoste-Julien, M. Schmidt, P. Pletscher. Block-Coordinate Frank- Wolfe for Structural SVMs. Optimization for Machine Learning, NIPS, Lake Tahoe, NV, USA, of 5

3 S. Lacoste-Julien and Z. Ghahramani. Approximate Inference for the Loss-Calibrated Bayesian. Ninth Valencia International Meeting on Bayesian Statistics, Valencia, Spain, S. Lacoste-Julien, F. Sha and M. Jordan. Conditionally Trained Latent Dirichlet Allocation for Text Modeling and Categorization. Learning Workshop, Snowbird, UT, USA, S. Lacoste-Julien, B. Taskar, D. Klein and M. Jordan. Word Alignment via Quadratic Assignment. Advances in Structured Learning for Text and Speech Processing Workshop, NIPS, Whistler, BC, Canada, Teaching Experience University of California, Berkeley, Berkeley, CA, USA Graduate student instructor for Computer Science 188, Fall Artificial Intelligence (undergraduate course) - Gave weekly section and designed homework. Students graded my overall teaching effectiveness at 4.3/5.0. Head graduate student instructor for Computer Science , Fall Practical Machine Learning (graduate course) - Designed and gave one lecture, as well as ensured continuity of the class (taught by 15 different grad students) with projects, assignments, etc. - Guest lecturer also in Spring Graduate student instructor for Computer Science 281a, Fall Statistical Learning Theory (graduate course) - Gave weekly section. Mathematics Helpdesk Tutor in I did one-on-one tutoring on any undergraduate mathematics topic. Teaching assistant for Mathematics 266A, Fall Linear Algebra and Boundary Value Problems (undergraduate class) - Gave weekly section. Teaching assistant for Mathematics 265C, Summer Advanced Calculus (undergraduate class) - Gave biweekly section. Research Experience École Normale Supérieure & INRIA, Paris, France SIERRA project-team Research in Paris Fellow Machine learning research in collaboration with Francis Bach. Sept 2011 present University of Cambridge, Cambridge, UK Machine Learning Group Research Associate Nov 2008 Aug 2011 Machine learning research in collaboration with Prof. Zoubin Ghahramani. University of California, Berkeley, Berkeley, CA, USA Statistical Artificial Intelligence Laboratory (SAIL) Graduate Student Researcher July 2003 Oct 2008 Machine learning research in collaboration with Prof. Michael Jordan and Prof. Dan Klein. Yahoo! Research, Santa Clara, CA, USA Intern May 2006 August 2006 Machine learning research under the supervision of Andrew Tomkins and Vanja Josifovski. 3 of 5

4 Helsinki Institute of Information Technology, Helsinki, Finland Complex Systems Computation Group Invited Researcher May 2004 June 2004, August 2005 Collaborated on the Next Generation Information Retrieval project with Wray Buntine and Henry Tirri. Modelling, Simulation and Design Laboratory (MSDL) Undergraduate researcher May 2002 August 2002 Research on Hybrid Systems modelling and simulation with Prof. Hans Vangheluwe. Reasoning and Learning Laboratory Undergraduate researcher May 2001 August 2001 Research on Delay Differential Equations with Prof. Prakash Panangaden. Invited Talks Conference and Workshop Presentations Academic Service 2012 Stanford AI Lab, Stanford University, Stanford, CA, USA Dept. of Engineering Science, University of Oxford, Oxford, UK Toronto Learning Group, University of Toronto, Toronto, ON, Canada Spoken Language Processing Group, LIMSI, Université Paris-Sud, Orsay, France DIRO, Université de Montréal, Montréal, QC, Canada 2011 Statistical Laboratory, University of Cambridge, Cambridge, UK INRIA - SIERRA project-team, École Normale Supérieure, Paris, France 2010 Department of Computer Science, Computer and Inform. Science Dep., Univ. of Pennsylvania, Philadelphia, PA, USA Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA 2009 Machine Learning and Perception Group, Microsoft Research Cambridge, UK Service Innovation Laboratory, Xerox Research Centre Europe, Grenoble, France 2008 Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, USA Dept. of Computer Science, University of Toronto, Toronto, ON, Canada Dept. of Computer Science, Computational and Bio. Learning Lab., University of Cambridge, Cambridge, UK 2012 OPT2012 NIPS Workshop, Lake Tahoe, NV, USA (talk) Social2012 NIPS Workshop, Lake Tahoe, NV, USA (poster) International Conference on Machine Learning, Edinburgh, UK (talk) 2011 Conference on Artificial Intelligence and Statistics, Ft. Lauderdale, FL, USA (poster) 2010 International Society for Bayesian Statistics World Meeting, Bedinorm, Spain (talk) The Learning Workshop, Snowbird, UT, USA (poster) 2009 Workshop on The Generative and Discriminative Learning Interface, Neural Information Processing Systems conference, Whistler, BC, Canada (organizer) 2008 Neural Information Processing Systems conference, Vancouver, BC, Canada (poster) Workshop on Algorithms for Modern Massive Data Sets, Palo Alto, CA, USA (poster) The Learning Workshop, Snowbird, UT, USA (talk) 2007 RAD Lab Retreat, Santa Cruz, CA, USA (talk) 2006 North American chapter of the Association for Computational Linguistics annual meeting, New York, NY, USA (talk) 2005 Workshop on Advances in Structured Learning for Text and Speech Processing, Neural Information Processing Systems conference, Whistler, BC, Canada (talk) Session Chair, International Conference on Continous Optimization, 2013 Co-organizer of international workshop on The Generative and Discriminative Learning Interface at Neural Information Processing Systems conference, 2009 Reviewer for: Journal of Machine Learning Research (JMLR) IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Machine Learning Annals of Statistics Statistics and Computing IEEE Transactions on Knowledge and Data Engineering (TKDE) 4 of 5

5 International Journal of Computer Vision (IJCV) Neural Information Processing Systems (NIPS) Uncertainty in Artificial Intelligence (UAI) and Senior PC member International Conference of Machine Learning (ICML) International Conference on AI and Statistics (AISTATS) International Joint Conference on AI (IJCAI) Conference on Empirical Methods in Natural Language Processing (EMNLP) Service at University of Cambridge: Elected member of the Wolfson College Council Member of the Fellowship and Membership Committee, Wolfson College 2011 VP communication of Postdocs Of Cambridge (PdOC), PASCAL EU Network of Excellence grant manager Departmental service at UC Berkeley: Computer Science Graduate Student Association (CSGSA) Visit Day Committee, Student member of Graduate Admission Committee, Chair of CSGSA Faculty Candidate Committee, 2006 Head of CSGSA Orientation Committee, 2004 Languages French Native speaker English Fluent Spanish Intermediate German Beginner Programming Matlab, Python, C, Java, Unix shell Referees Michael I. Jordan Zoubin Ghahramani Pehong Chen Distinguished Professor Professor of Information Engineering University of California, Berkeley University of Cambridge jordan Francis Bach Research Faculty INRIA - École Normale Supérieure fbach Ben Taskar Magerman Term Assistant Professor University of Pennsylvania taskar 5 of 5